search for: n_forest

...mprises of two continuous vars, body size and range size, as well as of feeding guild, nest placement, nest type and foragig strata as factors. I hope to model with these variables the preference of primary forests (#successes) by certain bird species. My code therefore looks like: y<-cbind(n_forest,n_trials-n_forest) model<-glm(y~range+body+nstrata+ntype+forage+feed,family=quasibinomial(link=logit),data=dat) however plausible the approach may look, overdispersion is prevalent (dispersion estimated at 6.5). I read up on this and learned that in case of multiple factors, not all levels ma...